Methods and systems for calculating the construction progress and cost variances of power transmission and transformation projects

Abstract

This invention provides a method and system for calculating the construction progress and cost variances of power transmission and transformation projects. The method includes performing multivariate correlation analysis on construction period data to calculate the planned duration of each process; identifying critical path processes that affect the total project duration, determining the time percentage of each critical path process within the critical path, and calculating the total project duration based on the time percentage of each process within the critical path and the planned duration of each process; determining alternative project execution plans based on the total project duration; calculating the personnel and machinery costs of each process based on the alternative project execution plans; accumulating the costs of each process, and comparing the cost differences between different alternative project execution plans. This invention develops a quantitative analysis tool for the correlation between construction period and cost through an innovative method, constructing a multi-dimensional linkage model of "schedule-cost-resources" to accurately quantify the intrinsic relationship between construction efficiency losses and cost fluctuations, avoiding errors from empirical estimations.

Description

Technical Field

[0001] This invention relates to the field of engineering project management technology, and in particular to a method and system for calculating the construction progress and cost differences of power transmission and transformation projects. Background Technology

[0002] In the management of power transmission and transformation projects during the construction phase, the industry currently widely uses Gantt charts for schedule planning and relies on the experience of construction management personnel to manually schedule the project. This approach has several drawbacks. First, it is difficult to effectively integrate resource constraints during construction, such as equipment allocation, personnel configuration, and material supply, leading to low resource utilization efficiency. Second, due to the lack of dynamic adjustment capabilities, when unexpected situations such as design changes or weather changes occur, it is impossible to update the construction plan in a timely manner. It is also difficult to accurately quantify the intrinsic relationship between construction efficiency losses and cost fluctuations, making it difficult to find the optimal project schedule and ultimately affecting the scientific nature and effectiveness of project decision-making.

[0003] To address the shortcomings of traditional methods, various optimization solutions have been proposed in the field of engineering management. For example, linear programming models based on time-cost trade-offs attempt to balance the relationship between schedule and cost through mathematical programming methods. However, this model fails to fully consider the impact of dynamic resource allocation on construction progress and cost. In the complex and ever-changing construction environment, its calculation results deviate significantly from the actual situation. While BIM technology enables visualized management of construction progress and can intuitively display the progress of the project, its cost estimation accuracy is insufficient due to the lack of deep integration and refined analysis of all elements in the construction process. This fails to meet the demand for precise cost control in engineering management.

[0004] In summary, existing methods for calculating construction progress and cost variances are insufficient to fully and accurately reflect the complex relationship between progress, cost, and resources during the construction of power transmission and transformation projects. There is an urgent need for a quantitative modeling method that can integrate all elements of the construction process and achieve multi-dimensional linkage analysis in order to scientifically determine the optimal construction period and improve the scientific and economical nature of project management. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to overcome the problems of existing inertial actuators that cannot simultaneously guarantee high force transmission rate and static load-bearing capacity of the moving part at extremely low frequencies, as well as high system energy consumption and poor effect when controlling extremely low frequency vibrations, and to provide an adjustable electromagnetic negative stiffness extremely low frequency inertial actuator and an active vibration control system.

[0006] To achieve the above objectives, this invention provides a method for calculating the construction progress and cost differences in power transmission and transformation projects, comprising the following steps:

[0007] S1. Perform multivariate correlation analysis on the schedule data and calculate the planned schedule for each process.

[0008] S2. Use the critical path method to identify the critical path processes that affect the total project duration, determine the proportion of time used by each critical path process in the critical path, and calculate the total project duration based on the proportion of time used by each process in the critical path and the planned duration of each process.

[0009] S3. Determine alternative project execution plans based on the total project duration;

[0010] S4. Calculate the personnel and machinery costs for each process based on the alternative engineering execution plans;

[0011] S5. Accumulate the costs of each process and compare the cost differences of different alternative engineering execution plans.

[0012] In one embodiment of the present invention, in S1, the formula for calculating the planned duration of each process is as follows:

[0013] T_plan = Q / (D·N·η);

[0014] In the formula, T_plan represents the planned duration of each process, Q represents the total workload of the process, D represents the average daily workload per unit work surface corresponding to the process, N represents the number of parallel work surfaces, and η represents the efficiency coefficient corresponding to the number of work surfaces in the process.

[0015] In one embodiment of the present invention, in S2, during the process of determining the percentage of time spent by each critical path operation on the critical path, if a certain operation only occupies a portion of the critical path's time, it is necessary to supplement the percentage of that operation's time on the critical path to correct the impact of partial parallel operation on the total project duration. The total project duration is calculated based on the percentage of time spent by each operation on the critical path and the planned duration of each operation.

[0016] In one embodiment of the present invention, in S2, the formula for calculating the total project duration is:

[0017] T_total=∑(T_plan_i·α_i);

[0018] In the formula, T_total represents the total project duration, T_plan_i represents the planned duration of the i-th process, and α_i represents the time percentage of the i-th process on the critical path.

[0019] In one embodiment of the present invention, in step S3, the method for determining alternative project execution plans based on the total project duration includes:

[0020] S31. Calculate the project duration boundary values, including taking the minimum number of parallel operation surfaces for each process to calculate the longest project duration, and taking the maximum number of parallel operation surfaces for each process to calculate the shortest project duration.

[0021] S32. Determine the time threshold range based on the calculated longest and shortest construction periods;

[0022] S33. With the expected construction period as the target, by adjusting the number of parallel operation surfaces N of each process and combining it with the efficiency coefficient η, the planned construction period of each process is recalculated to obtain the total construction period.

[0023] S34. By repeatedly adjusting the combination of values ​​for the number N of parallel operation surfaces in each process, multiple engineering execution plans with planned and expected durations are obtained as alternative engineering execution plans.

[0024] In one embodiment of the present invention, in S4, the calculation formulas for personnel costs and machinery costs of each process are as follows:

[0025] C_labor=∑(u_j·n_j)·N·T_plan;

[0026] C_equip=[∑(v_k·m_k)+∑(u_l·p_l·m_k)]·N·T_plan+∑(f_k·m_k·N);

[0027] In the formula, C_labor represents personnel cost, u_j represents the unit price of j-type personnel, n_j represents the personnel requirement per unit work area, N represents the number of parallel work areas for each process, T_plan represents the planned duration of each process, C_equip represents machinery cost, v_k represents the daily usage fee of k-type machinery, m_k represents the number of machines per unit work area, u_l represents the unit price of l-type personnel, p_l represents the number of l-type personnel assigned to a single machine, and f_k represents the single entry and exit fee.

[0028] In one embodiment of the present invention, in S5, the cost differences of different alternative engineering execution schemes are displayed by a line graph showing the planned duration and the corresponding direct cost of the critical path process.

[0029] Based on the same inventive concept, this invention also provides a system for calculating the construction progress and cost differences in power transmission and transformation projects, comprising:

[0030] The resource optimization and scheduling module is used to perform multivariate correlation analysis on the project duration data and calculate the planned duration of each process.

[0031] The project duration calculation module is used to identify critical path processes that affect the overall project duration using the critical path method, determine the proportion of time used by each critical path process in the critical path, and calculate the overall project duration based on the proportion of time used by each process in the critical path and the planned duration of each process.

[0032] The project execution plan generation module is used to determine alternative project execution plans based on the total project duration.

[0033] The cost calculation module is used to calculate the personnel and machinery costs for each process based on alternative engineering execution plans.

[0034] The cost accounting module is used to accumulate the costs of each process and compare the cost differences of different alternative engineering execution plans.

[0035] Furthermore, the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method described above.

[0036] Furthermore, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described above.

[0037] As can be seen from the above, the present invention has at least the following beneficial effects:

[0038] The present invention provides a method and system for calculating the construction progress and cost differences in power transmission and transformation projects. It develops a quantitative analysis tool for the correlation between construction period and cost through an innovative method. First, it constructs a multi-dimensional linkage model of "progress-cost-resources" to accurately quantify the intrinsic relationship between construction efficiency loss and cost fluctuations, avoiding errors in empirical estimation. Second, it uses multivariate analysis, critical path identification and other methods to quickly generate multiple alternative solutions that meet the expected construction period, and accurately compares cost differences, significantly improving the efficiency of solution optimization.

[0039] The present invention provides a method and system for calculating the construction progress and cost difference of power transmission and transformation projects. The modular and automated design of the tools reduces human intervention, promotes the upgrading of project management to intelligence and digitalization, provides reliable data support for project management, effectively reduces the total project cost, and improves the scientific and economical nature of decision-making. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in this invention or related technologies, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are only embodiments of this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart illustrating a method for calculating the construction progress and cost differences in power transmission and transformation projects, provided by the present invention.

[0042] Figure 2 This is a flowchart illustrating step S3 of the present invention.

[0043] Figure 3 This invention provides a schematic diagram of the hardware structure of a system for calculating the construction progress and cost differences in power transmission and transformation projects.

[0044] Figure 4 The line graph provided for this invention. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0046] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this invention should have the ordinary meaning understood by those skilled in the art. The terms "first," "second," and similar terms used in the embodiments of this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word covers the element or object listed after the word and its equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are only used to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0047] To keep the following description of the embodiments of the present invention clear and concise, detailed descriptions of some known functions and components have been omitted.

[0048] like Figure 1 A method for calculating the construction progress and cost variance of a power transmission and transformation project, as shown in one embodiment, includes the following steps:

[0049] Step S1: Perform multivariate correlation analysis on the project duration data and calculate the planned duration of each process.

[0050] Step S2: Use the critical path method to identify the critical path processes that affect the total project duration, determine the proportion of time used by each critical path process in the critical path, and calculate the total project duration based on the proportion of time used by each process in the critical path and the planned duration of each process.

[0051] Step S3: Determine alternative project execution plans based on the total project duration;

[0052] Step S4: Calculate the personnel and machinery costs for each process based on the alternative engineering execution plans;

[0053] Step S5: Accumulate the costs of each process and compare the cost differences of different alternative engineering execution plans.

[0054] The present invention provides a method for calculating the construction progress and cost differences in power transmission and transformation projects. It develops a quantitative analysis tool for the correlation between construction period and cost through an innovative approach. First, it constructs a multi-dimensional linkage model of "progress-cost-resources" to accurately quantify the intrinsic relationship between construction efficiency loss and cost fluctuations, avoiding errors in empirical estimation. Second, it uses multivariate analysis, critical path identification, and other methods to quickly generate multiple alternative solutions that meet the expected construction period and accurately compares cost differences, significantly improving the efficiency of solution optimization.

[0055] In step S1, the first step is data preparation. The total workload Q of each process is obtained from the bill of quantities, specifying the workload of each process (such as concrete pouring volume and pipe laying length), which serves as the baseline for calculating the construction period. The average daily workload D per unit work surface corresponding to each process is determined based on historical construction data, equipment performance parameters, or industry standards, defining the standard workload that a single work surface can complete daily. The number of parallel work surfaces N is determined by considering resource constraints such as construction site area and equipment quantity, setting a range for the number of work surfaces for each process. The efficiency coefficient η is established through historical experience or simulation testing to establish the correlation between the number of work surfaces and efficiency decay. This step breaks through the traditional single-variable estimation model, incorporating multiple factors such as total workload, construction efficiency, resource input, and efficiency reduction due to cross-operations into a unified model. It comprehensively reflects the complex impacts in actual construction. Through flexible adjustments to N and η, it simulates the changes in construction period under different construction organization schemes, supporting dynamic optimization of resource allocation. This step, through systematic multivariate analysis, transforms fuzzy construction period estimates into calculable and verifiable accurate data, which is a key foundation for achieving refined management of construction progress and costs.

[0056] In step S2, a network diagram (such as a double-symbol network diagram or a single-symbol network diagram) is first constructed based on the planned duration of each process calculated in step S1, including the sequence and parallel relationships of the processes. Next, all possible construction paths are analyzed, and the total time consumed for each path (i.e., the sum of the planned durations of all processes on the path) is calculated. Then, the path with the longest consumption time is identified as the critical path, and all processes on this path are critical path processes. For example, in a building construction project, if the total time of the path "foundation construction → main structure → roofing" exceeds that of other paths, then this path is the critical path, and the corresponding processes directly affect the total project duration. For processes whose time is partially on the critical path (such as those overlapping with other processes), the proportion of time (α_i) on the critical path is determined by analyzing the logical relationships between the processes. For example, if a process has a total duration of 10 days, with 6 days on the critical path, then α_i = 60%. This step, through critical path identification, filters out the processes that truly determine the total project duration, avoiding resource waste on non-critical tasks and achieving precise allocation of management resources. By introducing α_i to correct the contribution of cross-operations to the total project duration, this method is more in line with the complex scenario of inter-operational relationships in actual construction, compared to the traditional critical path method which only considers whether the entire process is on the critical path.

[0057] The formula for calculating the total project duration is as follows:

[0058] T_total=∑(T_plan_i·α_i);

[0059] In the formula, T_total represents the total project duration, T_plan_i represents the planned duration of the i-th process, and α_i represents the time percentage of the i-th process on the critical path.

[0060] In step S3, such as Figure 2 As shown, the specific steps for determining alternative project execution plans based on the total project duration include the following:

[0061] S31. Calculate the project duration boundary values, including taking the minimum number of parallel operation surfaces for each process to calculate the longest project duration, and taking the maximum number of parallel operation surfaces for each process to calculate the shortest project duration.

[0062] S32. Determine the time threshold range based on the calculated longest and shortest construction periods;

[0063] S33. With the expected construction period as the target, by adjusting the number of parallel operation surfaces N of each process and combining it with the efficiency coefficient η, the planned construction period of each process is recalculated to obtain the total construction period.

[0064] S34. By repeatedly adjusting the combination of values ​​for the number N of parallel operation surfaces in each process, multiple engineering execution plans with planned and expected durations are obtained as alternative engineering execution plans.

[0065] This step uses the number of work surfaces N as the core variable, linking the efficiency coefficient η and the process duration to achieve a dynamic balance between resource input and schedule targets, offering greater flexibility compared to traditional fixed resource allocation models. By dynamically adjusting resource allocation based on schedule thresholds, the generated solutions not only meet schedule requirements but also adapt to different resource input scenarios (such as equipment shortages and manpower shortages).

[0066] In step S4, the formulas for calculating personnel costs and machinery costs for each process are as follows:

[0067] C_labor=∑(u_j·n_j)·N·T_plan;

[0068] C_equip=[∑(v_k·m_k)+∑(u_l·p_l·m_k)]·N·T_plan+∑(f_k·m_k·N);

[0069] In the formula, C_labor represents personnel cost, u_j represents the unit price of j-type personnel, n_j represents the personnel requirement per unit work area, N represents the number of parallel work areas for each process, T_plan represents the planned duration of each process, C_equip represents machinery cost, v_k represents the daily usage fee of k-type machinery, m_k represents the number of machines per unit work area, u_l represents the unit price of l-type personnel, p_l represents the number of l-type personnel assigned to a single machine, and f_k represents the single entry and exit fee.

[0070] This step uses the number of work areas (N) and the planned construction period (T_plan) as variables to achieve real-time linkage between cost and construction plan, which is more in line with the actual scenario than traditional static cost estimation. Machinery costs are broken down into usage fees, personnel support fees, and entry and exit fees, and personnel costs are differentiated by the unit price of each type of work, which improves the granularity of cost calculation and achieves refined cost breakdown. The costs are calculated independently based on different alternative plans to form a multi-dimensional data matrix of "plan-construction period-cost", which provides a quantitative basis for subsequent comparison.

[0071] In step S5, the costs of each process are accumulated, and the cost differences among different alternative project execution plans are compared. Optionally, the cost differences among different alternative project execution plans are displayed using a line graph to show the planned duration and the corresponding direct costs of the critical path processes, such as... Figure 4 As shown, the visualized charts enable project managers to quickly identify the most cost-effective or best time-cost balance solution without having to compare data line by line, improving decision-making efficiency by more than 50%. This step, through a complete chain of "data calculation - variance analysis - visualization," transforms complex cost data into an intuitive tool to drive scientific decision-making, providing efficient and accurate technical support for optimizing construction plans.

[0072] The present invention provides a method for calculating the construction progress and cost difference of power transmission and transformation projects. The modular and automated design of the tool reduces human intervention, promotes the intelligent and digital upgrade of project management, provides reliable data support for project management, effectively reduces the total project cost, and improves the scientific and economical nature of decision-making.

[0073] Taking the construction of "static pressure pile foundation" of a 220kV substation as an example, the construction personnel and machinery costs were calculated under the conditions of conventional working face and maximum working face capacity, respectively. The calculation results are shown in Table 1, Table 2 and Table 3.

[0074] Table 1

[0075]

[0076] Table 2

[0077]

[0078] • The planned construction period corresponding to the number of conventional work sites = 14980 / (400 * 1 * 1) = 37.5 days

[0079] The planned construction period corresponding to the maximum number of working surfaces = 14980 / (400 * 2 * 0.7) = 26.8 days

[0080] • Personnel required for the work area: 1 welder

[0081] • Mechanical requirements per unit work area: 1 static pressure pile foundation machine

[0082] Table 3

[0083]

[0084] • Personnel cost corresponding to the number of regular work sites = 350 * 1 * 1 * 37.5 = 13125 yuan

[0085] • The mechanical cost corresponding to the number of conventional working surfaces = ((10000*1+(240*3+350*1+1000*1))**11))*37.5+1*10000*1=462625 yuan

[0086] • The cost of personnel and machinery corresponding to the number of regular work sites = 13125 + 462625 = 475750 yuan

[0087] • The personnel cost corresponding to the maximum number of working areas = 350 * 1 * 2 * 26.8 = 18760 yuan

[0088] • Maximum number of working faces corresponds to the following machinery cost: ((10000*1+(240*3+350*1+1000*1))*2)*26.8+1*10000*2=666952 yuan

[0089] • The cost of personnel and machinery corresponding to the maximum number of working areas = 18760 + 666952 = 685712 yuan

[0090] • Reduced construction period: 37.5 - 26.8 = 10.7 days; Increased personnel and machinery costs: 685,712 - 475,750 = 209,962 yuan

[0091] The comparison between the conventional solution and the optimized solution is shown in Table 4 below:

[0092] Table 4

[0093] plan Construction period (days) Cost (ten thousand yuan) Efficiency coefficient η Conventional solution (N=1) 37.5 47.6 1.0 Optimization scheme (N=2) 26.8 68.6 0.7

[0094] The method of this invention accurately quantifies the relationship that shortening the construction period by 10.7 days requires an additional cost of 209,000 yuan (marginal cost rate of 19,500 yuan / day), verifying the practicality of the method model.

[0095] Based on the same inventive concept, such as Figure 3 As shown, this invention also provides a system for calculating the construction progress and cost differences of power transmission and transformation projects, including:

[0096] The resource optimization and scheduling module is used to perform multivariate correlation analysis on the project duration data and calculate the planned duration of each process.

[0097] The project duration calculation module is used to identify critical path processes that affect the overall project duration using the critical path method, determine the proportion of time used by each critical path process in the critical path, and calculate the overall project duration based on the proportion of time used by each process in the critical path and the planned duration of each process.

[0098] The project execution plan generation module is used to determine alternative project execution plans based on the total project duration.

[0099] The cost calculation module is used to calculate the personnel and machinery costs for each process based on alternative engineering execution plans.

[0100] The cost accounting module is used to accumulate the costs of each process and compare the cost differences of different alternative engineering execution plans.

[0101] The present invention provides a system for calculating the construction progress and cost difference of power transmission and transformation projects. It develops a quantitative analysis tool for the correlation between construction period and cost through an innovative method. First, it constructs a multi-dimensional linkage model of "progress-cost-resources" to accurately quantify the intrinsic relationship between construction efficiency loss and cost fluctuation, avoiding errors in empirical estimation. Second, it uses multivariate analysis, critical path identification and other methods to quickly generate multiple alternative solutions that meet the expected construction period, and accurately compares cost differences, significantly improving the efficiency of solution optimization.

[0102] The system described above is used to implement the corresponding methods for calculating the construction progress and cost differences of power transmission and transformation projects in the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0103] It should be noted that the method of this disclosure embodiment can be executed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario, where multiple devices cooperate to complete the task. In such a distributed scenario, one of these devices may execute only one or more steps of the method of this disclosure embodiment, and the multiple devices will interact with each other to complete the method described.

[0104] It should be noted that the above description describes some embodiments of this disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in a different order than that shown in the above embodiments and still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0105] Based on the same inventive concept, corresponding to the methods of any of the above embodiments, this disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the method for calculating the construction progress and cost difference of power transmission and transformation projects as described in any of the above embodiments.

[0106] In this embodiment of the invention, the processor may be a central processing unit (CPU), an application-specific integrated circuit, a digital signal processor, a field-programmable gate array, or other programmable logic devices.

[0107] The processor can call programs stored in the memory. Specifically, the processor can execute the operations in the above-described embodiments of the method for calculating the construction progress and cost differences of power transmission and transformation projects.

[0108] The memory is used to store one or more programs, which may include program code, including computer operation instructions.

[0109] In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0110] Based on the same inventive concept, corresponding to any of the above embodiments, this invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for calculating the construction progress and cost difference of power transmission and transformation projects.

[0111] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0112] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0113] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0114] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0115] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for calculating the construction progress and cost variance of power transmission and transformation projects, characterized in that, Includes the following steps: S1. Perform multivariate correlation analysis on the schedule data and calculate the planned schedule for each process. S2. Use the critical path method to identify the critical path processes that affect the total project duration, determine the proportion of time spent by each critical path process in the critical path, and calculate the total project duration based on the proportion of time spent by each process in the critical path and the planned duration of each process. S3. Determine alternative project execution plans based on the total project duration; S4. Calculate the personnel and machinery costs for each process based on the alternative engineering execution plans; S5. Accumulate the costs of each process and compare the cost differences of different alternative engineering execution plans; In S2, when determining the percentage of time spent by each critical path process on the critical path, if a process only occupies a portion of the critical path time, it is necessary to supplement the percentage of time spent by that process on the critical path to correct the impact of partial parallel operation of processes on the total project duration.

2. The method for calculating the construction progress and cost differences of power transmission and transformation projects according to claim 1, characterized in that: In S1, the formula for calculating the planned duration of each process is as follows: T_plan = Q / (D·N·η); In the formula, T_plan represents the planned duration of each process, Q represents the total workload of the process, D represents the average daily workload per unit work surface corresponding to the process, N represents the number of parallel work surfaces, and η represents the efficiency coefficient corresponding to the number of work surfaces in the process.

3. The method for calculating the construction progress and cost differences of power transmission and transformation projects according to claim 1 or 2, characterized in that: In S2, the formula for calculating the total project duration is: T_total = ∑(T_plan_i·α_i); In the formula, T_total represents the total project duration, T_plan_i represents the planned duration of the i-th process, and α_i represents the time percentage of the i-th process on the critical path.

4. The method for calculating the construction progress and cost difference of power transmission and transformation projects according to claim 3, characterized in that: In S3, the method for determining alternative project execution plans based on the total project duration includes: S31. Calculate the project duration boundary values, including taking the minimum number of parallel operation surfaces for each process to calculate the longest project duration, and taking the maximum number of parallel operation surfaces for each process to calculate the shortest project duration. S32. Determine the time threshold range based on the calculated longest and shortest construction periods; S33. With the expected construction period as the target, by adjusting the number of parallel operation surfaces N of each process and combining it with the efficiency coefficient η, the planned construction period of each process is recalculated to obtain the total construction period. S34. By repeatedly adjusting the combination of values ​​for the number N of parallel operation surfaces in each process, multiple engineering execution plans with planned and expected durations are obtained as alternative engineering execution plans.

5. The method for calculating the construction progress and cost difference of power transmission and transformation projects according to claim 4, characterized in that: In S4, the formulas for calculating personnel costs and machinery costs for each process are as follows: C_labor=∑(u_j·n_j)·N·T_plan; C_equip=[∑(v_k·m_k)+∑(u_l·p_l·m_k)]·N·T_plan+∑(f_k·m_k·N); In the formula, C_labor represents personnel cost, u_j represents the unit price of j-type personnel, n_j represents the personnel requirement per unit work area, N represents the number of parallel work areas for each process, T_plan represents the planned duration of each process, C_equip represents machinery cost, v_k represents the daily usage fee of k-type machinery, m_k represents the number of machines per unit work area, u_l represents the unit price of l-type personnel, p_l represents the number of l-type personnel assigned to a single machine, and f_k represents the single entry and exit fee.

6. The method for calculating the construction progress and cost difference of power transmission and transformation projects according to claim 3, characterized in that: In S5, the cost differences between different alternative engineering execution plans are displayed using a line graph to show the planned duration and the corresponding direct costs of critical path processes.

7. A system for calculating the construction progress and cost variance of power transmission and transformation projects, characterized in that, include: The resource optimization and scheduling module is used to perform multivariate correlation analysis on the project duration data and calculate the planned duration of each process. The project duration calculation module is used to identify critical path processes that affect the overall project duration using the critical path method, determine the proportion of time used by each critical path process in the critical path, and calculate the overall project duration based on the proportion of time used by each process in the critical path and the planned duration of each process. The project execution plan generation module is used to determine alternative project execution plans based on the total project duration. The cost calculation module is used to calculate the personnel and machinery costs for each process based on alternative engineering execution plans. The cost accounting module is used to accumulate the costs of each process and compare the cost differences of different alternative engineering execution plans. In determining the percentage of time spent by each process on the critical path, if a process only accounts for a portion of the time on the critical path, it is necessary to supplement the percentage of time spent by that process on the critical path to correct the impact of partial parallel operation of processes on the total project duration.

8. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When executed by a processor, the program implements the steps of the method according to any one of claims 1 to 6.

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