Method and system for calculating work quantity of construction machinery based on budget machinery demand quantity

Abstract

The invention discloses a method and system for calculating construction machinery work quantity based on budget machinery demand quantity, and the method comprises the steps: collecting construction machinery data of an actual project site, the construction machinery data comprising machinery model, power and efficiency; collecting related data of the budgeting machine, wherein the related data comprises industrial standard parameters and enterprise quota data; calculating an effect conversion coefficient between an actual construction machine and the budgeting machine according to the construction machine data and the related data of the budgeting machine, wherein the effect conversion coefficient is used for evaluating the performance difference of different machines under the same working condition; according to the efficacy conversion coefficient, the budgeting machine is replaced and optimally configured, the method is used for achieving efficient utilization of mechanical resources, the method achieves construction machine work amount calculation based on actual needs, errors caused by insufficient information in a traditional budgeting method are reduced, and therefore the budgeting accuracy is improved.

Description

Technical Field

[0001] The present application relates to the technical field of project cost management, and in particular to a method and system for calculating the workload of construction machinery based on budgeted machinery demand. Background Art

[0002] In the field of engineering cost management, the traditional quota budgeting method is usually based on the social average level of the industry and fixed resource allocation. This method is particularly limited in the allocation of mechanical resources, and cannot effectively consider the possible resource differences and their impact on costs during the actual project implementation. The traditional quota budgeting method often leads to a deviation between the budget results and the actual costs, which in turn affects the competitiveness of enterprises in a highly competitive market environment.

[0003] Existing technologies usually rely on empirical data and industry standards to calculate costs. The budgeted machinery in the quota is based on certain assumptions: the equipment is in good condition and the operator has certain experience; the particularity of the project and the performance differences of the actual equipment are ignored. This causes a large deviation between the estimated cost and the actual cost of the enterprise during the project bidding and implementation process, which is not conducive to winning the bid and cost management. Therefore, it is necessary to develop a new method that can scientifically configure construction machinery based on the budgeted machinery demand and the actual situation of available machinery, so as to achieve more accurate cost calculation and resource allocation optimization. Summary of the invention

[0004] The present application provides a method and system for calculating the operation volume of construction machinery based on the budgeted machinery demand, aiming to solve the problem that the traditional quota budgeting method often leads to deviation between the budget results and the actual costs, thereby affecting the competitiveness of enterprises in a highly competitive market environment.

[0005] In a first aspect, a method for calculating the operation volume of a construction machinery based on a budgeted machinery demand volume, the method comprising:

[0006] Collecting construction machinery data at actual project sites, wherein the construction machinery data includes machinery model, power and efficiency;

[0007] Collect relevant data of the budget machinery, including industry standard parameters and enterprise quota data;

[0008] Calculate the efficiency conversion coefficient between the actual construction machinery and the budgeted machinery based on the construction machinery data and the relevant data of the budgeted machinery, so as to evaluate the performance difference of different machinery under the same working conditions;

[0009] The budgeted machinery is replaced and optimally configured according to the efficiency conversion coefficient to achieve efficient use of machinery resources.

[0010] In the above scheme, optionally, the efficiency conversion coefficient calculation step adopts a weighted average method to combine the on-site measurement data with the historical data in the enterprise quota database to calculate the efficiency conversion coefficient.

[0011] In the above scheme, optionally, the budgeted machinery is replaced and optimized according to the efficiency conversion coefficient. The specific optimization configuration step includes evaluating different machines according to the variable cost and fixed cost of the machinery, and giving priority to construction machinery with an efficiency conversion coefficient close to 1 and a lower variable cost.

[0012] In the above scheme, optionally, the integration step forms a machinery efficiency conversion database with the converted construction machinery information, wherein the database includes the performance parameters, cost information and project implementation records of the machinery for reference and decision support for subsequent project implementation.

[0013] In the above solution, optionally, the method further comprises: using cost management software to obtain the daily demand for budgeted machinery, and dynamically allocating and adjusting resources based on the demand;

[0014] Replacement and optimization configuration are based on the empirical data in the enterprise quota library to ensure that the selected machinery meets the specific construction standards and needs of the enterprise.

[0015] In the above scheme, the mechanical resource efficiency conversion table is optionally used to set a configuration scheme that meets the role's needs. The configuration scheme includes self-owned, planned new purchase, and rental classifications, and needs to display their respective entry and exit time, duration, and related cost information;

[0016] The configuration schemes described herein input respective efficacy conversion coefficients to ensure the scientificity and rationality of the optimization process, and the coefficients are adjusted by the user according to the specific circumstances of the project.

[0017] In the above scheme, optionally, the method also includes that the mechanical resource efficiency conversion coefficient accumulated in the enterprise quota library can be automatically called by the software to improve the efficiency of subsequent cost calculation, and the coefficient is continuously updated and optimized according to the data of new projects.

[0018] In a second aspect, a system for calculating the operation volume of a construction machinery based on a budgeted machinery demand volume, the system comprising:

[0019] The first collection module is used to collect construction machinery data at the actual project site, wherein the construction machinery data includes machinery model, power and efficiency;

[0020] The second collection module is used to collect relevant data of the budgeted machinery, wherein the relevant data includes industry standard parameters and enterprise quota data;

[0021] Calculation module: used for calculating the efficiency conversion coefficient between the actual construction machinery and the budgeted machinery according to the construction machinery data and the relevant data of the budgeted machinery, so as to evaluate the performance difference of different machinery under the same working conditions;

[0022] Configuration module: used to replace and optimize the configuration of budgeted machinery according to the efficiency conversion coefficient, so as to achieve efficient use of mechanical resources.

[0023] In a third aspect, a computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0024] Collecting construction machinery data at actual project sites, wherein the construction machinery data includes machinery model, power and efficiency;

[0025] Collect relevant data of the budget machinery, including industry standard parameters and enterprise quota data;

[0026] Calculate the efficiency conversion coefficient between the actual construction machinery and the budgeted machinery based on the construction machinery data and the relevant data of the budgeted machinery, so as to evaluate the performance difference of different machinery under the same working conditions;

[0027] The budgeted machinery is replaced and optimally configured according to the efficiency conversion coefficient to achieve efficient use of machinery resources.

[0028] In a fourth aspect, a computer program product comprises a computer program / instruction, wherein when the computer program / instruction is executed by a processor, the following steps are implemented:

[0029] Collecting construction machinery data at actual project sites, wherein the construction machinery data includes machinery model, power and efficiency;

[0030] Collect relevant data of the budget machinery, including industry standard parameters and enterprise quota data;

[0031] Calculate the efficiency conversion coefficient between the actual construction machinery and the budgeted machinery based on the construction machinery data and the relevant data of the budgeted machinery, so as to evaluate the performance difference of different machinery under the same working conditions;

[0032] The budgeted machinery is replaced and optimally configured according to the efficiency conversion coefficient to achieve efficient use of machinery resources.

[0033] Compared with the prior art, this application has at least the following beneficial effects:

[0034] Based on further analysis and research on existing technical problems, this application recognizes that traditional quota budgeting methods often lead to deviations between budget results and actual costs, which in turn affects the competitiveness of enterprises in a highly competitive market environment. This application collects construction machinery data at actual project sites, wherein the construction machinery data include machinery model, power and efficiency; collects relevant data of budget machinery, wherein the relevant data include industry standard parameters and enterprise quota data; calculates the efficiency conversion coefficient between the actual construction machinery and the budget machinery based on the construction machinery data and the relevant data of the budget machinery, which is used to evaluate the performance differences of different machines under the same working conditions; replaces and optimizes the configuration of the budget machinery based on the efficiency conversion coefficient, so as to achieve efficient utilization of machinery resources. This method realizes the calculation of construction machinery workload based on real needs, reduces the errors caused by insufficient information in traditional budgeting methods, and thus improves the accuracy of the budget.

[0035] First, by building a conversion bridge between actual machinery and quota machinery, the present invention realizes cost estimation based on actual machinery, making cost forecast more accurate and close to the actual project. This avoids the limitation of the traditional quota budget method of calculating based on the industry social average level, and effectively improves the accuracy and reliability of cost estimation.

[0036] Secondly, in practical applications, calculating the construction machinery operation volume based on the budgeted machinery demand can guide resource allocation more accurately. Through on-site measurements of actual projects, the method of calculating the construction machinery operation volume based on the budgeted machinery demand can collect and sort out empirical data and corporate levels, providing strong support for resource investment during project implementation. This helps reduce resource waste, improve resource utilization efficiency, and thus reduce project costs.

[0037] In addition, the present invention introduces the efficiency coefficient as a key indicator in the calculation of machinery replacement, making the replacement process more scientific and reasonable. By giving priority to construction machinery with an efficiency conversion coefficient close to 1 and making decisions by comparing variable costs, the present invention can achieve cost optimization and precise resource allocation. This helps to improve the cost competitiveness of enterprises and enable them to obtain more project opportunities in the fiercely competitive international market.

[0038] Finally, the implementation of the method of calculating the construction machinery operation volume based on the budgeted machinery demand will help promote the digital transformation of enterprises. Through data-driven decision-making and management, enterprises can use resources more efficiently, optimize cost structure, and improve overall operational efficiency. This will not only help improve the economic benefits of enterprises, but also promote the sustainable development of the industry.

[0039] In summary, the method for calculating the workload of construction machinery based on the budgeted machinery demand created by the present invention shows significant beneficial effects in cost estimation and resource allocation, provides strong support for the enterprise's project management, and helps to enhance the enterprise's competitiveness and sustainable development capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A flow chart of a method for calculating the operation volume of construction machinery based on the budgeted machinery demand provided by one embodiment of the present application;

[0041] Figure 2 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0043] In the description of this application: unless otherwise specified, the meaning of "plurality" is two or more. The terms "first", "second", "third", etc. in this application are intended to distinguish the objects referred to, and do not have special meanings in terms of technical connotations (for example, they should not be understood as emphasizing the importance or order, etc.). Expressions such as "including", "comprising", "having", etc. also mean "not limited to" (certain units, components, materials, steps, etc.).

[0044] In one embodiment, Figure 1 As shown, a method for calculating the operation volume of construction machinery based on the budgeted machinery demand is provided, comprising the following steps:

[0045] Collecting construction machinery data at actual project sites, wherein the construction machinery data includes machinery model, power and efficiency;

[0046] Collect relevant data of the budget machinery, including industry standard parameters and enterprise quota data;

[0047] Calculate the efficiency conversion coefficient between the actual construction machinery and the budgeted machinery based on the construction machinery data and the relevant data of the budgeted machinery, so as to evaluate the performance difference of different machinery under the same working conditions;

[0048] The budgeted machinery is replaced and optimally configured according to the efficiency conversion coefficient to achieve efficient use of machinery resources.

[0049] In this embodiment, the efficiency conversion coefficient is used to resolve the differences between the construction machinery and the budgeted machinery, such as: differences in equipment models or parameters, or differences in equipment status.

[0050] In this embodiment, the efficiency conversion coefficient calculation step adopts the weighted average method to combine the on-site measurement data with the historical data in the enterprise quota database to calculate the efficiency conversion coefficient.

[0051] In this embodiment, the budgeted machinery is replaced and optimally configured according to the efficiency conversion coefficient. The specific optimization configuration step includes evaluating different machines according to the variable cost and fixed cost of the machinery, and giving priority to construction machinery with an efficiency conversion coefficient close to 1 and a lower variable cost.

[0052] In this embodiment, the integration step forms a machine efficiency conversion database with the converted construction machine information, and the database includes the machine's performance parameters, cost information and project implementation records for reference and decision support for subsequent project implementation.

[0053] In this embodiment, the method further includes: using cost management software to obtain the daily demand for budgeted machinery, and dynamically allocating and adjusting resources based on the demand;

[0054] Replacement and optimization configuration are based on the empirical data in the enterprise quota library to ensure that the selected machinery meets the specific construction standards and needs of the enterprise.

[0055] In this embodiment, the mechanical resource efficiency conversion table is used to set up a configuration plan that meets the role's needs. The configuration plan includes self-owned, planned new purchase, and rental categories, and needs to display their respective entry and exit times, durations, and related cost information;

[0056] The configuration schemes described herein input respective efficacy conversion coefficients to ensure the scientificity and rationality of the optimization process, and the coefficients are adjusted by the user according to the specific circumstances of the project.

[0057] In this embodiment, the method also includes that the mechanical resource efficiency conversion coefficient accumulated in the enterprise quota library can be automatically called by the software to improve the efficiency of subsequent cost calculations, and the coefficient is continuously updated and optimized according to the data of new projects.

[0058] In this embodiment, by collecting and processing data of actual projects and budgeted machinery, this embodiment realizes the calculation of construction machinery workload based on real needs, reduces errors caused by insufficient information in traditional budgeting methods, and thus improves the accuracy of the budget.

[0059] This embodiment uses the weighted average method to calculate the efficiency conversion coefficient, which helps to integrate field and historical data, ensures the scientificity and reliability of the calculation, and enhances the accuracy of the performance evaluation of different machines. By optimizing the mechanical configuration and giving priority to low-cost machines with performance close to the standard, the overall cost of the project is significantly reduced, the economic benefits of resource allocation are improved, and the competitiveness of the enterprise in the market is enhanced. The formed mechanical efficiency conversion database provides comprehensive and accurate data support for subsequent projects, making project decisions more scientific, helping to monitor and evaluate the use of mechanical resources in real time, and improving project management efficiency.

[0060] This embodiment dynamically obtains the daily demand for budgeted machinery and adjusts resource allocation to ensure the effectiveness of construction progress and resource utilization, thereby improving the flexibility and responsiveness of project execution. Replacement and optimization based on the experience data of the enterprise quota library ensure that the selected machinery meets the enterprise standards, improves construction quality and efficiency, and promotes the smooth implementation of the project.

[0061] This embodiment optimizes resource allocation, minimizes resource waste, improves the efficiency of mechanical resource use, and ultimately improves the economic benefits and sustainable development capabilities of the project. The multi-classification setting of the mechanical resource efficiency conversion table ensures the flexibility and adaptability of the resource allocation plan, can effectively respond to different project needs and market changes, and improves the scientific nature of resource management. Users adjust the efficiency conversion coefficient according to the actual situation of the project, which enhances the flexibility and adaptability of the method, enables the construction plan to be optimized in real time according to different environmental conditions, and improves the intelligent level of project management.

[0062] This embodiment improves the efficiency and accuracy of subsequent cost measurement by automatically calling the accumulated efficiency conversion coefficient, promotes the digital transformation of enterprises in project management, and promotes the scientific and intelligent management decision-making.

[0063] In one embodiment, most of the traditional quota budgets are calculated based on the resources allocated by the quota, where the quota resources consider conventional resources, especially mechanical resources; the content of the quota is based on the social average level of the industry. If an enterprise wants to get a project in the fiercely competitive international market, the cost must be highly competitive, and it is difficult to achieve strong cost competitiveness with national quotas or industry quotas based on the social average level of the industry.

[0064] This embodiment provides a method for calculating the operation volume of construction machinery based on the budgeted machinery demand, selecting suitable construction machinery from a known set of construction machinery, and reasonably allocating construction machinery on the premise of meeting the known budgeted machinery demand and other constraints. The role sorting principle is first the roles on the key path, and then the roles are sorted in order of occurrence time. When mechanical resources are subsequently allocated to the roles, they will be allocated in the order of the role sorting.

[0065] The mechanical resource efficiency conversion table is used to set the configuration plan to meet the role requirements. Configuration plans need to be classified by equipment channel, which can be divided into self-owned, planned new purchase, and leased. They also need to display their respective entry and exit time, survival time, fixed cost, variable cost, etc. Different configuration plans can enter their own efficiency conversion coefficients. The mechanical resource efficiency conversion table has the corresponding function of filtering by role and selecting a certain equipment to display the corresponding role requirements.

[0066] The machinery in the equipment plan can select data from the resource pool, that is, when adding machinery, the machinery classification details in the resource pool can be directly called.

[0067] The coefficients in the mechanical resource efficiency conversion table are currently filled in by the user, who fills in the coefficients based on the specific conditions of the project and the machinery equipped. As the enterprise quota data accumulates, the software will directly call the mechanical resource efficiency conversion coefficients in the enterprise quota library.

[0068] Compared with the prior art, the method of calculating the construction machinery operation volume based on the budgeted machinery demand in this embodiment shows significant beneficial effects in cost estimation and resource allocation.

[0069] First, by building a conversion bridge between actual machinery and quota machinery, the present invention realizes cost estimation based on actual machinery, making cost forecast more accurate and close to the actual project. This avoids the limitation of the traditional quota budget method that is based on the industry social average level, and effectively improves the accuracy and reliability of cost estimation.

[0070] Secondly, in practical applications, calculating the construction machinery operation volume based on the budgeted machinery demand can guide resource allocation more accurately. Through on-site measurements of actual projects, the method of calculating the construction machinery operation volume based on the budgeted machinery demand can collect and sort out empirical data and corporate levels, providing strong support for resource investment during project implementation. This helps reduce resource waste, improve resource utilization efficiency, and thus reduce project costs.

[0071] In addition, the present invention introduces the efficiency coefficient as a key indicator in the calculation of machinery replacement, making the replacement process more scientific and reasonable. By giving priority to construction machinery with an efficiency conversion coefficient close to 1 and making decisions by comparing variable costs, the present invention can achieve cost optimization and precise resource allocation. This helps to improve the cost competitiveness of enterprises and enable them to obtain more project opportunities in the fiercely competitive international market.

[0072] Finally, the implementation of the method of calculating the construction machinery operation volume based on the budgeted machinery demand will help promote the digital transformation of enterprises. Through data-driven decision-making and management, enterprises can use resources more efficiently, optimize cost structure, and improve overall operational efficiency. This will not only help improve the economic benefits of enterprises, but also promote the sustainable development of the industry.

[0073] In summary, the method for calculating the workload of construction machinery based on the budgeted machinery demand created by the present invention shows significant beneficial effects in cost estimation and resource allocation, provides strong support for the enterprise's project management, and helps to enhance the enterprise's competitiveness and sustainable development capabilities.

[0074] When implementing the mechanical efficiency conversion table, the mechanical efficiency conversion table must first be implanted into the enterprise's quota library. Subsequently, during the on-site measurement of the actual project, the mechanical efficiency conversion table is used to collect and sort out experience data and enterprise levels. These data will serve as the basis for subsequent cost estimation and construction plan formulation.

[0075] In the cost estimation stage, the daily demand for budgeted machinery is obtained through cost management software, and the machinery replacement calculation is performed based on the efficiency coefficient. Construction machinery with an efficiency conversion coefficient close to 1 is given priority to ensure maximum efficiency in the conversion process. When there are multiple optional construction machinery, their variable costs are compared and the machinery with lower costs is selected to optimize the cost structure.

[0076] After the cost calculation is completed, the converted construction machinery information will be integrated into the machinery efficiency conversion table to form a complete machinery efficiency conversion database. This database will serve as an important reference for the company's future project management and provide strong support for project decision-making.

[0077] By implementing the mechanical efficiency conversion table created by the present invention, enterprises can realize the data connection between cost estimation and construction plan, improve the accuracy and operability of cost estimation, optimize resource allocation, reduce project costs, and enhance the competitiveness and sustainable development capabilities of enterprises.

[0078] The overall operation process is as follows:

[0079] Through the data returned by P6, the daily demand for each budget machine is obtained, and the budget machines on the critical path are calculated first;

[0080] According to the efficiency coefficient of the construction machinery conversion budget machinery, replacement calculation is carried out, and the machinery with efficiency conversion coefficient close to 1 is used first;

[0081] If the absolute values ​​of the efficiency conversion of multiple construction machines that can be replaced by a budgeted machine are equal, the variable costs of the above construction machines are compared, and the one with the lower cost is used first;

[0082] Follow the above steps to convert the budget machine into a construction machine.

[0083] In one embodiment, a system for calculating the operation amount of a construction machine based on a budgeted machine demand is provided, comprising:

[0084] The first collection module is used to collect construction machinery data at the actual project site, wherein the construction machinery data includes machinery model, power and efficiency;

[0085] The second collection module is used to collect relevant data of the budgeted machinery, wherein the relevant data includes industry standard parameters and enterprise quota data;

[0086] Calculation module: used for calculating the efficiency conversion coefficient between the actual construction machinery and the budgeted machinery according to the construction machinery data and the relevant data of the budgeted machinery, so as to evaluate the performance difference of different machinery under the same working conditions;

[0087] Configuration module: used to replace and optimize the configuration of budgeted machinery according to the efficiency conversion coefficient, so as to achieve efficient use of mechanical resources.

[0088] The specific implementation content of each module can be found in the above-mentioned method for calculating the operating volume of construction machinery based on the budgeted machinery demand, which will not be repeated here.

[0089] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 2 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. The processor of the computer device is used to provide computing and control capabilities, and the network interface is used to communicate with an external terminal through a network connection. The computer device loads and runs a computer program to implement the above-mentioned method for calculating the operation volume of construction machinery based on the budgeted machinery demand.

[0090] Those skilled in the art will understand that Figure 2 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0091] In one embodiment, a computer program product is also provided, including a computer program / instruction, which, when executed by a processor, involves all or part of the process in the above-mentioned embodiment method.

[0092] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A method for calculating the operation volume of construction machinery based on the budgeted machinery demand volume, comprising the following steps: Collecting construction machinery data at actual project sites, wherein the construction machinery data includes machinery model, power and efficiency; Collect relevant data of the budget machinery, including industry standard parameters and enterprise quota data; Calculate the efficiency conversion coefficient between the actual construction machinery and the budgeted machinery based on the construction machinery data and the relevant data of the budgeted machinery, so as to evaluate the performance difference of different machinery under the same working conditions; The budgeted machinery is replaced and optimally configured according to the efficiency conversion coefficient to achieve efficient use of machinery resources.

2. The method according to claim 1, characterized in that The efficiency conversion coefficient calculation step adopts the weighted average method to combine the on-site measurement data with the historical data in the enterprise quota database to calculate the efficiency conversion coefficient.

3. The method according to claim 1, characterized in that: The budgeted machinery is replaced and optimally configured according to the efficiency conversion coefficient. The specific optimization configuration steps include evaluating different machines according to the variable cost and fixed cost of the machinery, and giving priority to construction machinery with an efficiency conversion coefficient close to 1 and a lower variable cost.

4. The method according to claim 1, characterized in that: The integration step converts the converted construction machinery information into a machinery efficiency conversion database, which includes the performance parameters, cost information and project implementation records of the machinery for reference and decision support for subsequent project implementation.

5. The method according to claim 1, characterized in that: The method further includes: using P6 project management software to obtain daily demand for budgeted machinery, and dynamically allocating and adjusting resources based on the demand; Replacement and optimization configuration are based on the empirical data in the enterprise quota library to ensure that the selected machinery meets the specific construction standards and needs of the enterprise.

6. The method according to claim 1, characterized in that The mechanical resource efficiency conversion table is used to set up a configuration plan that meets the role's needs. The configuration plan includes self-owned, planned new purchase, and rental categories, and needs to display their respective entry and exit times, duration, and related cost information; The configuration schemes described herein input respective efficacy conversion coefficients to ensure the scientificity and rationality of the optimization process, and the coefficients are adjusted by the user according to the specific circumstances of the project.

7. The method according to claim 1, characterized in that The method also includes that the mechanical resource efficiency conversion coefficient accumulated in the enterprise quota library can be automatically called by the software to improve the efficiency of subsequent cost calculation, and the coefficient is continuously updated and optimized according to the data of new projects.

8. A system for calculating the operation volume of construction machinery based on the budgeted machinery demand, characterized in that: include: The first collection module is used to collect construction machinery data at the actual project site, wherein the construction machinery data includes machinery model, power and efficiency; The second collection module is used to collect relevant data of the budgeted machinery, wherein the relevant data includes industry standard parameters and enterprise quota data; Calculation module: used for calculating the efficiency conversion coefficient between the actual construction machinery and the budgeted machinery according to the construction machinery data and the relevant data of the budgeted machinery, so as to evaluate the performance difference of different machinery under the same working conditions; Configuration module: used to replace and optimize the configuration of budgeted machinery according to the efficiency conversion coefficient, so as to achieve efficient use of mechanical resources.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method according to claims 1-7 are implemented.

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